kwaivgi/kolors
Kolors by KwaiVGI - generate stunning images from text prompts with state-of-the-art AI. Supports multiple aspect ratios, styles, and high-resolution output for creative and commercial use.
Example output — click Run to generate your own
Send your first request
OpenAI-compatible endpoint with unified authentication and usage tracking.
https://api.sandbase.ai/v1/runkwaivgi/kolorsInput Schema
7 parameters · 1 required · 6 optional
| Parameter | Type | Required | Description |
|---|---|---|---|
prompt | string | Required | The prompt to use for generating the image. Be as descriptive as possible for best results. |
seed | integer | Optional | Seed |
scheduler | string | Optional | The scheduler to use for the model. · Options: EulerDiscreteScheduler, EulerAncestralDiscreteScheduler, DPMSolverMultistepScheduler, DPMSolverMultistepScheduler_SDE_karras, UniPCMultistepScheduler, DEISMultistepScheduler · Default: "EulerDiscreteScheduler" EulerDiscreteSchedulerEulerAncestralDiscreteSchedulerDPMSolverMultistepSchedulerDPMSolverMultistepScheduler_SDE_karrasUniPCMultistepSchedulerDEISMultistepScheduler |
aspect_ratio | string | Optional | The aspect ratio of the generated image. · Options: 21:9, 16:9, 3:2, 4:3, 5:4, 1:1, 4:5, 3:4, 2:3, 9:16 21:916:93:24:35:41:14:53:42:39:16 |
output_format | string | Optional | The format of the generated image. · Options: jpeg, png · Default: "png" jpegpng |
guidance_scale | number | Optional | The CFG (Classifier Free Guidance) scale is a measure of how close you want the model to stick to your prompt when looking for a related image to show you. · Min: 1 · Max: 10 · Default: 5 |
num_inference_steps | integer | Optional | The number of inference steps to perform. · Min: 1 · Max: 150 · Default: 50 |
Output Schema
| Field | Type | Description |
|---|---|---|
id | string | Unique identifier for the generation task |
status | string | Task status: pending, running, completed, failed, timeout |
model | string | Model used for the generation |
outputs | array | Array of output items |
outputs[].url | string | URL of the generated artifact |
outputs[].content_type | string | MIME type (e.g. image/png, video/mp4) |
error | object | null | Error details if failed, null on success |
error.type | string | Machine-readable error type code |
error.message | string | Human-readable error description |
Async Workflow
This model uses asynchronous execution. Submit a request and poll for the result.
- Submit — POST to /v1/run, receive an
id - Poll — GET /v1/run/{id} until status is
completed,failed, ortimeout - Retrieve — Read
outputsfrom the completed response
Code Examples
Ready-to-run snippets
# Step 1: Submit
curl -X POST https://api.sandbase.ai/v1/run \
-H "Content-Type: application/json" \
-H "Authorization: Bearer YOUR_API_KEY" \
-d '{
"model": "kwaivgi/kolors",
"prompt": "A young Chinese couple with fair skin, dressed in stylish sportswear, with the modern Beijing city skyline in the background. Facial details, clear pores, captured using the latest camera model, close-up shot, ultra-high quality, 8K, visual feast.",
"scheduler": "EulerDiscreteScheduler",
"output_format": "png",
"guidance_scale": 5,
"num_inference_steps": 50
}'
# Step 2: Poll result (replace <id>)
curl https://api.sandbase.ai/v1/run/<id> \
-H "Authorization: Bearer YOUR_API_KEY"API README
Kolors
Kolors is a text-to-image generation endpoint in the Kolors family. It is built for creators who need to turn a concrete creative brief into a controlled visual sequence: the request establishes the source material, the intended subject behavior, the camera language, and the atmosphere of the finished shot. The standard route keeps that workflow explicit instead of hiding its input assumptions behind a generic video-generation label.
In practice, this route accepts a written prompt as creative context and exposes aspect ratio for delivery planning. That makes it suitable for shot-based pipelines where teams must preserve a source, direct a transformation, or control the final format without losing sight of the model's central task. Write prompts as a compact shot plan—subject, action, setting, camera, light, and timing—then use the structured fields for constraints that should remain deterministic across iterations.
Highlights
- Bilingual visual semantics. Kolors was developed for strong Chinese and English prompt understanding across photorealistic and stylized imagery.
- Composition control. A broad aspect-ratio set supports landscape, portrait, square, and social formats.
- Generation-path control. Scheduler selection and reproducible seeds support intentional iteration.
- Prompt-led synthesis. Detailed text directions define subject, scene, lighting, style, and framing.
Pricing
| Billing unit | Price |
|---|---|
| Base request | $0.000575 |
When to Use
| Scenario | Recommendation |
|---|---|
| Choose this route | Use it when the deliverable specifically calls for text-to-image generation, rather than a neighboring generation mode. |
| Prepare the source | Provide a precise written brief in the format described by the request schema. |
| Direct the shot | Describe the subject, action, environment, camera movement, lighting, and temporal progression in that order. |
| Control continuity | Use endpoint frames, reference media, strength, or audio controls when those fields are available instead of burying hard constraints in prose. |
| Plan delivery | Set duration, frame count, resolution, and aspect ratio explicitly when the schema exposes them, then compare iterations with a stable seed where supported. |
Prompt Guide
For text-to-image generation, describe one coherent shot rather than a list of visual keywords. Put the main subject and action first, follow with location and staging, then add camera movement, lens or framing, lighting, mood, and any timed change. Keep URLs and hard delivery choices in their dedicated fields.
{
"prompt": "A young Chinese couple with fair skin, dressed in stylish sportswear, with the modern Beijing city skyline in the background. Facial details, clear pores, captured using the latest camera model, close-up shot, ultra-high quality, 8K, visual feast.",
"aspect_ratio": "21:9"
}
Technical Specs
| Specification | Value |
|---|---|
| Model ID | kwaivgi/kolors |
| Required inputs | prompt |
| Execution | Asynchronous generation job |
| Request controls | 7 documented fields |
| Output | url, content_type |
Request fields
| Field | Type and constraints |
|---|---|
seed | integer; Optional |
prompt | string; Required |
scheduler | string; Optional; Options: EulerDiscreteScheduler, EulerAncestralDiscreteScheduler, DPMSolverMultistepScheduler, DPMSolverMultistepScheduler_SDE_karras, UniPCMultistepScheduler, DEISMultistepScheduler; Default: "EulerDiscreteScheduler" |
aspect_ratio | string; Optional; Options: 21:9, 16:9, 3:2, 4:3, 5:4, 1:1, 4:5, 3:4, 2:3, 9:16 |
output_format | string; Optional; Options: jpeg, png; Default: "png" |
guidance_scale | number; Optional; Range: 1–10; Default: 5 |
num_inference_steps | integer; Optional; Range: 1–150; Default: 50 |